Search results
- 1.0507120 - ÚTIA 2020 RIV US eng C - Conference Paper (international conference)\n.b.Pevný, T. - .emphasis.Somol, Petr./emphasis../b.\nDiscriminative models for multi-instance problems with tree-structure. \nProceedings of the 2016 ACM Workshop on Artificial Intelligence and Security (AISec'16). New York: ACM, 2016, s. 83-91. ISBN 978-1-4503-4573-6.\n[the 2016 ACM Workshop on Artificial Intelligence and Security (AISec'16). Vienna (AT), 28.10.2016-28.10.2016]\n.b.Institutional support./b.: RVO:67985556\n.b.Keywords ./b.: big data * learning indicators of compromise * malware detection * neural network * user modeling\n.b.OECD category./b.: Automation and control systems\n http://library.utia.cas.cz/separaty/2019/RO/somol-0507120.pdf
Permanent Link: http://hdl.handle.net/11104/0298524
- 2.0507118 - ÚTIA 2020 RIV US eng C - Conference Paper (international conference)\n.b.Flusser, M. - Pevný, T. - .emphasis.Somol, Petr./emphasis../b.\nDensity-Approximating Neural Network Models for Anomaly Detection. \nACM SIGKDD 2018 Workshop. New York: ACM, 2018, s. 1-8. ISBN 978-1-4503-5552-0.\n[ACM SIGKDD 2018 Workshop. London (GB), 20.08.2018]\n.b.Institutional support./b.: RVO:67985556\n.b.Keywords ./b.: neural network * anomaly detection\n.b.OECD category./b.: Robotics and automatic control\n http://library.utia.cas.cz/separaty/2019/RO/somol-0507118.pdf
Permanent Link: http://hdl.handle.net/11104/0298560
- 3.0507114 - ÚTIA 2020 RIV US eng C - Conference Paper (international conference)\n.b.Komárek, T. - .emphasis.Somol, Petr./emphasis../b.\nEnd-node Fingerprinting for Malware Detection on HTTPS Data. \nProceedings of the 12th International Conference on Availability, Reliability and Security (ARES'17). New York: ACM, 2017, s. 1-7, č. článku 77. ISBN 978-1-4503-5257-4.\n[the 12th International Conference on Availability, Reliability and Security (ARES'17). Reggio Calabria (IT), 29.08.2017-01.09.2017]\n.b.Institutional support./b.: RVO:67985556\n.b.Keywords ./b.: HTTPS data * Malware detection * Supervised learning\n.b.OECD category./b.: Robotics and automatic control\n http://library.utia.cas.cz/separaty/2019/RO/somol-0507114.pdf
Permanent Link: http://hdl.handle.net/11104/0298533
- 4.0507111 - ÚTIA 2020 RIV DE eng C - Conference Paper (international conference)\n.b.Komárek, T. - .emphasis.Somol, Petr./emphasis../b.\nMultiple Instance Learning with Bag-Level Randomized Trees. \nMachine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2019 - (Berlingerio, M.; Bonchi, F.; Gärtner, T.; Hurley, N.; Ifrim, G.), s. 259-272. Lecture Notes in Computer Science, 11051. ISBN 978-3-030-10925-7.\n[Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD). Dublin (IE), 10.09.2018-14.09.2018]\n.b.Institutional support./b.: RVO:67985556\n.b.Keywords ./b.: Multiple instance learning * randomized trees * classification\n.b.OECD category./b.: Robotics and automatic control\n http://library.utia.cas.cz/separaty/2019/RO/somol-0507111.pdf
Permanent Link: http://hdl.handle.net/11104/0298754
\nResearch data: .u.data1./u. - 5.0463379 - ÚTIA 2017 RIV US eng C - Conference Paper (international conference)\n.b..emphasis.Somol, Petr./emphasis. - Pevný, T../b.\nDiscriminative Models for Multi-instance Problems with Tree Structure. \nProceedings of the 9th ACM Workshop on Artificial Intelligence and Security 2016. New York: ACM, 2016. ISBN 978-1-4503-4573-6.\n[9th ACM Workshop on Artificial Intelligence and Security. Vienna (AT), 28.10.2016]\n.b.Institutional support./b.: RVO:67985556\n.b.Keywords ./b.: Neural netwrok * User modeling * Malware detection * Big data * Learning indicators of compromise\n.b.Subject RIV./b.: IN - Informatics, Computer Science\n http://library.utia.cas.cz/separaty/2016/RO/somol-0463379.pdf
Permanent Link: http://hdl.handle.net/11104/0263127
- 6.0455622 - ÚTIA 2016 CA eng C - Conference Paper (international conference)\n.b.Létal, V. - Pevný, T. - .emphasis.Šmídl, Václav./emphasis. - .emphasis.Somol, Petr./emphasis../b.\nFinding New Malicious Domains Using Variational Bayes on Large-Scale Computer Network Data. \nNIPS Workshop: Advances in Approximate Bayesian Inference. Montréal, Canada: NIPS, 2015, s. 1-10.\n[NIPS workshop: Advances in Approximate Bayesian Inference. Montreal (CA), 11.12.2015]\n.b.Grant - others: ./b.GA ČR(CZ) GA15-08916S\n.b.Institutional support./b.: RVO:67985556\n.b.Keywords ./b.: variational bayes * malicious domain detection * large scale network\n.b.Subject RIV./b.: BD - Theory of Information\n http://library.utia.cas.cz/separaty/2016/AS/smidl-0455622.pdf
Permanent Link: http://hdl.handle.net/11104/0257094
- 7.0447072 - ÚTIA 2016 RIV DE eng C - Conference Paper (international conference)\n.b..emphasis.Filip, Jiří./emphasis. - .emphasis.Somol, Petr./emphasis../b.\nMaterials Classification using Sparse Gray-Scale Bidirectional Reflectance Measurements. \nComputer Analysis of Images and Patterns - CAIP 2015. Vol. I. Switzerland: Springer International Publishing, 2015 - (Azzopardi, G.; Petkov, N.), s. 289-299. Lecture Notes in Computer Science, 9256. ISBN 978-3-319-23192-1. ISSN 0302-9743.\n[16th International Conference on Computer Analysis of Images and Patterns. Valletta (MT), 02.09.2015-04.09.2015]\n.b.R&D Projects./b.: GA ČR(CZ) GA14-02652S; GA ČR(CZ) GA14-10911S\n.b.Institutional support./b.: RVO:67985556\n.b.Keywords ./b.: BRDF * material * classification * feature selection\n.b.Subject RIV./b.: BD - Theory of Information\n http://library.utia.cas.cz/separaty/2015/RO/filip-0447072.pdf
Permanent Link: http://hdl.handle.net/11104/0249084
- 8.0411320 - UTIA-B 20050049 RIV DE eng C - Conference Paper (international conference)\n.b..emphasis.Pudil, Pavel./emphasis. - .emphasis.Somol, Petr./emphasis../b.\nCurrent feature selection techniques in pattern recognition. \n[Současné metody výběru příznaků v rozpoznávání obrazů.]\nHeidelberg: Springer, 2005. Advances in Soft Computing. ISBN 3-540-25054-9. In: Proceedings of the 4th International Conference on Computer Recognition Systems. - (Kurzynski, M.; Puchala, E.; Wozniak, M.), s. 53-68\n[CORES'05 /4./. Rydzyna (PL), 22.05.2005-25.05.2005]\n.b.R&D Projects./b.: GA ČR GA402/03/1310; GA MŠk 1M0572\n.b.Institutional research plan./b.: CEZ:AV0Z10750506\n.b.Keywords ./b.: feature selection * statistical pattern recognition\n.b.Subject RIV./b.: BD - Theory of Information
Permanent Link: http://hdl.handle.net/11104/0131403
- 9.0411290 - UTIA-B 20050018 RIV CZ eng C - Conference Paper (international conference)\n.b..emphasis.Somol, Petr./emphasis. - .emphasis.Haindl, Michal./emphasis../b.\nNovel path search algorithm for image stitching and advanced texture tiling. \n[Nový algoritmus hledání cesty pro sešívání obrazů a pokročilé dlaždicování textur.]\nPlzeň: Západočeská univerzita, 2005. ISBN 80-903100-7-9. In: WSCG'2005. 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005. Proceedings. - (Skála, V.), s. 155-162\n[WSCG 2005 /13./. Plzeň (CZ), 31.01.2005-04.02.2005]\n.b.R&D Projects./b.: GA AV ČR(CZ) IAA2075302; GA MŠk 1M0572\n.b.EU Projects./b.: European Commission(XE) 507752 - MUSCLE\n.b.Grant - others: ./b.Commission EU(XE) IST-2001-34744\n.b.Institutional research plan./b.: CEZ:AV0Z10750506\n.b.Keywords ./b.: path search * image stitching * image transfer\n.b.Subject RIV./b.: BD - Theory of Information\n http://library.utia.cas.cz/separaty/historie/somol-novel path search algorithm for image stitching and advanced texture tiling.pdf
Permanent Link: http://hdl.handle.net/11104/0131373
- 10.0411134 - UTIA-B 20030121 RIV IT eng C - Conference Paper (international conference)\n.b..emphasis.Grim, Jiří./emphasis. - .emphasis.Somol, Petr./emphasis. - .emphasis.Pudil, Pavel./emphasis. - Just, P../b.\nProbabilistic neural network playing a simple game. \nFlorence: University of Florence, 2003. In: Artificial Neural Networks in Pattern Recognition. Proceedings. - (Marinai, S.; Gori, M.), s. 132-138\n[IAPR TC3 Workshop 2003 /1./. Florence (IT), 12.09.2003-13.09.2003]\n.b.R&D Projects./b.: GA ČR GA402/01/0981; GA ČR GA402/03/1310; GA AV ČR KSK1019101\n.b.Institutional research plan./b.: CEZ:AV0Z1075907\n.b.Keywords ./b.: probabilistic neural networks * finite mixtures * EM algorithm\n.b.Subject RIV./b.: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0131221